pval: P Value for a Monte Carlo Test of Polygon Overlapping

In overlapptest: Test Overlapping of Polygons Against Random Rotation

P Value for a Monte Carlo Test of Polygon Overlapping

Description

Computes the p-value and sign of deviation for the hypothesis that the first value in a vector is larger or smaller (i.e., a two-sided test) than the expected value represented by all the other values in the vector, or alternatively, computes a one-sided test.

Usage

pval(x, alternative=c("two.sided", "less", "greater"))

Arguments

x	A vector, usually with some observed statistic in the first position (the observed overlapp) followed by a sequence of the same statistic computed for several realizations of a null model against which we test our hypothesis (i.e., a sequence of simulated, i.e., rotated, overlapps).
alternative	a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter.

Value

Vector of length one whose absolute value represents the p-value and whose sign indicates wether the first value in x is larger (positive) or smaller (negative) than the expected value.

Author(s)

Marcelino de la Cruz

Examples

pval(c(0,1:99))
pval(c(100,1:99))
pval(c(100,1:199))
pval(c(200,1:199))
pval(c(0,1:199))

overlapptest documentation built on April 23, 2023, 1:16 a.m.